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Presenting a model of factors affecting foreign investment risk: multi-criteria decision making and linear regression with a fuzzy approach (Upstream Oil Industries)
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چکیده: (53 مشاهده) |
The main objective of the research is to rank the risk factors of foreign investment and present a model of their impact on the risk of foreign investment in upstream oil industries. It is descriptive in nature and method, and in terms of relationships, inferential and correlational. The statistical population of the research includes managers and experts in the oil industry, and the sample size was estimated at 90 people by random sampling method. The data collected with questionnaires were analyzed using SPSS and Matlab software. The results showed that according to the experts of the statistical population, political risk is in the first rank of mportance in creating foreign investment risk. Also, in the fuzzy regression method, the correlation between foreign investment risk factors and foreign investment risk is completely significant, and political risk has the greatest impact on foreign investment risk, and economic, social and non-commercial risks are in the next ranks. By examining the overall fit of the proposed model, it was determined that the appropriate power of fit of the proposed model has been able to determine the relationship between the independent and dependent variables of the research well.
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متن کامل [PDF 699 kb]
(135 دریافت)
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نوع مطالعه: گزارش موردی |
موضوع مقاله:
Fuzzy Sets and Systems
دریافت: 1404/11/18 | پذیرش: 1405/2/18 | انتشار: 1405/2/18
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